This project will upgrade the Climate and Infrastructure Forensic Analysis System (CIFAS), originally developed to characterize snow- and permafrost-related impacts to ground transportation and mine access roads in the Canadian North. My first objective is to enhance the analytical capacity of CIFAS by improving its ability to quantify uncertainties associated with empirical knowledge used to […]

Mash helps revenue teams at technical B2B companies streamline pre- and post-sales activities by automating knowledge-intensive tasks such as answering product questions, managing bug reports and feature requests, and prepping for meetings. Its AI platform leverages data buried in messaging platforms, wikis, CRMs, and other internal tools to deliver timely, context-aware assistance to individuals in […]

Ubisoft is one of the world’s largest video game studios, specializing in 3D open-world games that require precise 3D character representations. In particular, achieving high-quality facial features is crucial, as humans are highly sensitive to small details in facial expressions. Currently, creating 3D facial representations first requires a Lightstage capture pipeline. This process begins with […]

Traditional static authentication systems have a fundamental deficiency; it assumes the presence of the validated user through the length of the session. Continuous authentication algorithms periodically validate the identity of a user during the entire session. It relies on information that can be automatically extracted from the user such as biometrics and behavior patterns. A […]

Dairy consumption has decreased in the last 30 years. Canada’s Food Guide no longer recommends three servings of dairy and emphasizes plant-based diets and dairy alternatives. Associated with this decrease is an increase in overweight and the risk of obesity and Type 2 Diabetes (T2D) in adolescents. Consistent with this advice, many adolescents have increased […]

The University of Toronto Schools (UTS), through the Eureka Research Institute, is committed to advancing data-driven decision-making in K-12 education. This aligns with the growing recognition of the importance of data literacy in education, where students and teachers need to “read the world with data” and “write the world with data” (Louie, 2022). Recent research […]

This research project focuses on using advanced machine learning techniques to better predict stock prices, specifically targeting stocks from the S&P 500. By combining powerful deep learning methods—such as LSTM and GRU networks—with adaptive attention mechanisms inspired by Transformer models, the project aims to create forecasting systems that can dynamically adapt to changing market conditions, […]

Awesense is a clean tech company on a mission to accelerate the transition to clean energy by simplifying the creation of data-driven applications for a decarbonized, decentralized grid. To enable the complex planning and operational decisions required by distributed energy resources (e.g., solar, wind, batteries, EVs), Awesense developed its Digital Energy Platform. This platform allows […]

During this internship we will investigate the chemical and spectroscopy (colour) behavior of a new pigment to a variety of variables the new pigment is likely to encounter on application. Dominion Colour Corporation is interested in marketing this pigment as a new and robust colourant. [note: this overview is purposefully vague as the content of […]

PM2.5 are organic molecules, less than 2.5 nm in diameter, which pose significant risks to public health, and have been shown to cause lung irritation and cancer, corrode the alveolar wall, and premature mortality, among other issues. Using traditional methods, it is difficult to find the source of these molecules and document them promptly, as […]

Xanadu’s mission is to make quantum computing useful, through development of quantum hardware, software, and algorithms. One important direction in achieving this goal is identifying problems that can be solved on quantum hardware that are not tractable on classical computers, and then building quantum algorithms for those problems. We expect that eventually we will have […]

Predicting Complete IV Curves for Perovskite Solar Cells with AI. Perovskite solar cells are a groundbreaking technology, offering high efficiency and low manufacturing costs, making them a promising candidate for the future of renewable energy. Their tunable properties and rapid development have captured significant interest in both academic and industrial sectors. This project focuses on […]